Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add fajrisilmi12-cyber/hermes-socmed-function --skill zernio-social-postinggit clone --depth 1 https://github.com/fajrisilmi12-cyber/hermes-socmed-functionWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/fajrisilmi12-cyber/hermes-socmed-function/zernio-social-posting)<a href="https://agentmods.dev/skills/fajrisilmi12-cyber/hermes-socmed-function/zernio-social-posting"><img src="https://agentmods.dev/badge/skills/fajrisilmi12-cyber/hermes-socmed-function/zernio-social-posting/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/fajrisilmi12-cyber/hermes-socmed-function/zernio-social-posting"><img src="https://agentmods.dev/badge/skills/fajrisilmi12-cyber/hermes-socmed-function/zernio-social-posting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00022 | $0.01923 |
| Opus 5 | $0.00011 | $0.00962 |
| Sonnet 5 | $0.00004 | $0.00385 |
| Haiku 4.5 | $0.00002 | $0.00192 |
Grade A, and why
zernio-social-posting scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Zernio + Cloudinary Social Media Posting
Post to 16 platforms via a single API: Zernio handles publishing, Cloudinary hosts + optimizes the media. Free tier covers 1-2 accounts on Zernio (no credit card) and 25 credits/month on Cloudinary.
When to use this skill
- User wants to post an image/video to Instagram, Facebook, TikTok, X, etc.
- User has a media URL and wants to publish to a social platform
- User wants to schedule a post or cross-post to multiple platforms
- User wants Story (24h ephemeral) or Reel (vertical video) support
- User already has a Zernio account and an Instagram Business/Creator account
User preference: never auto-generate images
This user (Fajri) always supplies the source image themselves — usually via WhatsApp or Discord attachment. The pipeline is:
- User sends image + caption
- Save to
/tmp/(or wherever the platform's bridge drops it) - Run
post_to_ig.py /tmp/<file> "<caption>" - Reply with the live IG URL
Do NOT generate images from a prompt for this user unless they explicitly
ask. Pair with the image-gen-9router skill only when they request
text-to-image. The default request "post this to IG" means "I have an
image, please upload and post it" — not "make me an image and post it."
The full text-to-image-then-post flow (e.g. "research Linux, generate an
infographic, post it") is a separate, opt-in workflow that combines this
skill with image-gen-9router.
What this skill assumes
- Zernio account at
https://zernio.com/signup(no CC for first 1-2 accounts) - At least one social account connected via Zernio OAuth
- Instagram account must be Business or Creator (Personal accounts cannot use Graph API)
- Cloudinary account for media CDN (free tier: 25 credits/month)
- Env vars in
~/.hermes/.env:ZERNIO_API_KEY=sk_...CLOUDINARY_CLOUD_NAME=...CLOUDINARY_API_KEY=...CLOUDINARY_API_SECRET=...- Optional:
ZERNIO_IG_ACCOUNT_ID=...(default for single-account flow)
The pipeline
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 178 lines · 22 tokens per session scan A 7eeb4ca47ee7
zernio-social-posting is a skill published in the GitHub repository fajrisilmi12-cyber/hermes-socmed-function (20 stars, last pushed 12d ago), licensed MIT. It adds 22 tokens to every session and 1,923 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
humanize-automation
Human-like mouse, keyboard and scroll behavior for behavioral bot bypass.
research-intelligence
Use when a Hermes agent must perform public-source research, source scouting, evidence grading, competitor/tool comparison, community-signal analysis, or decision-ready brief writing without private data or credentials.
hermes-diagnostic-review
Use when running a read-only diagnostic review of recent Hermes sessions to find recurring mistakes, failed tool calls, and repeated fixes, then propose suggestion-only improvements and reusable skills. Human-gated; never auto-applies.
holix-cron
Schedule recurring agent tasks via Holix built-in gateway cron (not crontab or custom scripts).
tag
A skill for turning image ideas, characters, scenes, and styles into Danbooru tags, which are standardized labels used in some AI image tools.
model-aware-image-prompt-engineer
Model-aware image prompt engineering for any agent or image generation workflow. Use when writing, improving, translating, debugging, or evaluating prompts for OpenAI image models, Gemini Nano Banana, Midjourney, FLUX, Qwen-Image, Z-Image, Stable Diffusion, SDXL, Pony, Illustrious, NoobAI, Animagine, HunyuanImage…